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Kubernetes on AWS

You're reading from   Kubernetes on AWS Deploy and manage production-ready Kubernetes clusters on AWS

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Product type Paperback
Published in Nov 2018
Publisher Packt
ISBN-13 9781788390071
Length 270 pages
Edition 1st Edition
Tools
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Author (1):
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Ed Robinson Ed Robinson
Author Profile Icon Ed Robinson
Ed Robinson
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Table of Contents (12) Chapters Close

Preface 1. Google's Infrastructure for the Rest of Us FREE CHAPTER 2. Start Your Engines 3. Reach for the Cloud 4. Managing Change in Your Applications 5. Managing Complex Applications with Helm 6. Planning for Production 7. A Production-Ready Cluster 8. Sorry My App Ate the Cluster 9. Storing State 10. Managing Container Images 11. Other Books You May Enjoy

Resource requests and limits

Kubernetes allows us to achieve high utilization of our cluster by scheduling multiple different workloads to a single pool of machines. Whenever we ask Kubernetes to schedule a pod, it needs to consider which node to place it on. The scheduler can make much better decisions about where to place a pod if we can give it some information about the resources that the pod will need; it then can calculate the current workload on each node and choose the node that fits the expected resource usage of our pod. We can optionally give Kubernetes this information with resource requests. Requests are considered at the time when a pod is scheduled to a node. Requests do not provide any limit to the amount of resources a pod may consume once it is running on a particular node, they just represent an accounting of the requests that we, the cluster operator, made...

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